Agentic AI system specialists

Agentic systems. Built for production.

We design, build and hand over secure AI agents for financial and automotive businesses—combining reasoning, enterprise knowledge and deterministic execution.

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AI agentsMCP serversMulti-agent orchestrationEnterprise RAGHuman-in-the-loopSource-code handover

What we specialise in

Agentic intelligence. Under enterprise control.

We turn business workflows into controlled agentic systems that can reason, retrieve knowledge, use tools and execute within explicit boundaries.

01 / AGENTS

Agentic workflow systems

Single-agent, planner-executor and multi-agent systems that coordinate complex work while preserving human authority.

PlanningTool useHITL

02 / KNOWLEDGE

Enterprise RAG

Grounded assistants that retrieve trusted organisational knowledge with citations, access controls and measurable answer quality.

RetrievalKnowledgeEvaluation

03 / CONTROL

Governed AI platforms

Secure cloud foundations with policy enforcement, audit trails, observability, cost controls and deterministic execution services.

GuardrailsAuditCloud

Agentic capabilities

Everything required to move agents into production.

From secure tool connectivity to autonomous execution, each capability is engineered as part of one governed system.

Agentic system design

Single-agent, supervisor, planner-executor and multi-agent architectures aligned to the workflow and risk.

MCP server engineering

Secure Model Context Protocol servers that expose enterprise tools, data and actions through controlled interfaces.

Fully automated workflows

End-to-end agent execution for approved low-risk processes, with bounded permissions, validation and recovery paths.

Human-in-the-loop

Approval gates, exception queues and escalation paths for sensitive, uncertain or high-impact decisions.

Enterprise RAG

Permission-aware retrieval across trusted knowledge with grounding, citations, evaluation and freshness controls.

Guardrails & observability

Policy enforcement, audit trails, prompt and tool tracing, quality metrics, latency monitoring and cost controls.

How our systems work

Intelligence moves through controlled stages.

Every request passes through identity, policy, knowledge and execution controls. The agent never receives unrestricted access to enterprise systems.

Request

User intent and business context enter the system.

Identity & policy

Permissions, data access and allowed actions are checked.

Plan

The agent decomposes the goal into controlled steps.

Retrieve

Trusted knowledge is retrieved with access controls.

Use tools

MCP servers expose only approved tools and data.

Approve

High-impact actions pause for human review.

Execute & audit

Validated actions run with complete traceability.

Production architecture

Reasoning is flexible. Control is deterministic.

We separate probabilistic AI reasoning from retrieval, policy decisions and business execution—so the system remains safe, testable and auditable.

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Governed autonomyPermissions, tool boundaries, approvals, guardrails and human escalation.
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Operational controlTracing, evaluation, latency, token cost, failure handling and audit evidence.
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Complete handoverSource code, cloud configuration, tests, documentation and knowledge transfer.

Responsible AI by design

Trust is engineered across the full lifecycle.

We design, deploy and operate AI systems to remain trustworthy, safe, compliant and aligned with human and regulatory expectations.

Fairness

Test for systematic bias across user groups, datasets and outcomes.

Explainability

Provide traceable evidence for model outputs, retrieved sources and actions.

Privacy & security

Protect training and inference data through access control, encryption and minimisation.

Safety

Prevent harmful, toxic or unsafe outputs using layered controls and testing.

Controllability

Bound agent behaviour through permissions, policies, approvals and shutdown controls.

Veracity & robustness

Measure accuracy and resilience against noisy, unexpected or adversarial input.

Governance

Apply ownership, policies, audit evidence, change control and lifecycle management.

Transparency

Disclose AI usage, limitations, data sources and when human oversight applies.

Delivery model

From workflow to governed autonomy.

Every agent starts with a clear business outcome, authority boundary and measurable acceptance criteria.

Discover

Map the workflow, users, knowledge, decisions, tools, risk and expected value.

Design controls

Define agent roles, permissions, guardrails, human approvals and failure paths.

Build & evaluate

Engineer the system and test quality, security, latency, cost and resilience.

Deploy & hand over

Launch with observability, documentation, source code and knowledge transfer.

Industry focus

Agentic systems for high-trust environments.

Designed for industries where accuracy, security, traceability and operational performance are non-negotiable.

Financial services / 01

Controlled, explainable, auditable.

Agentic research, knowledge, operations and decision-support systems with strict data, risk and human-control boundaries.

Automotive / 02

Automotive Parts Intelligence

An agentic parts intelligence system combining exact part lookup, semantic knowledge retrieval and controlled AI responses.

Open live demo ↗

Where could an agent remove friction?

Share the workflow, users, data sources and required controls. We will identify a practical route from use case to production.

Email gourav@gouravgarg.co.uk ↗